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Big Data and Visual Analytics for Building Performance Comparison

By Dimosthenis Ioannidis, Angeliki Fotiadou, Stelios Krinidis, George Stavropoulos, Dimitrios Tzovaras and Spiridon Likothanassis

Abstract

Part 7: New Methods and Tools for Big DataInternational audienceIn this paper, big data and visual analytics techniques for comparing building performance under different scenarios and designs are presented. Large data consist of building information, energy consumption, environmental measurements and occupancy information, which are combined and correlated utilizing data analytics techniques, so as to extract useful semantic information about building performance. Also, visual analytics techniques are exploited to visualize them in a compact and comprehensive way taking into account properties of human cognition, perception and sense making. They analyze and visualize the performance of the buildings under comparison in the spatio-temporal domain assisting the analyst to compare them and detect patterns, templates and crucial points that are difficult to be detected otherwise. The performance comparison of different buildings or buildings of different designs or buildings with space usage rearrangement is an important factor in engineering that leads to building renovation and construction with low energy consumption and gas emissions in conjunction with comfort, utility and durability

Topics: Big data analytics, Visual analytics, Building Performance, [INFO]Computer Science [cs]
Publisher: 'Springer Science and Business Media LLC'
Year: 2015
DOI identifier: 10.1007/978-3-319-23868-5_30
OAI identifier: oai:HAL:hal-01385376v1
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